Nigeria Gold Reserves

Nigeria · Quarterly series · EC-NG-GRES

Latest, Q1 2024

21.4 pts

+0.0% from Q4 2023

Open interactive chartNigeria Gold Reserves in the app

21.4621.4121.37Q1 2000Q1 2025
History through Q1 2024, the forecast path to Q1 2025 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2025: 21.4 pts, with an 80% interval of 21.4 pts to 21.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 202421.4 pts21.4 pts21.4 pts
Q3 202421.4 pts21.4 pts21.4 pts
Q4 202421.4 pts21.4 pts21.4 pts
Q1 202521.4 pts21.4 pts21.4 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-1%Matches the no-change baseline over 8 tests (8 tests, 0 won)
Direction
n/aToo few tests (6 direction calls, 8 needed) (2 of 6 calls right in 2 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 6 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
0 / 8Complete rolling backtests; ties count as no win.
Test period
2016-06-01 to 2024-03-014 observations ahead per test.
80% band coverage
31%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 0% of the 39 earlier readings since Q2 2014.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
Q1 202421.4 pts
Q4 202321.4 pts
Q3 202321.4 pts
Q2 202321.4 pts
Q1 202321.4 pts
Q4 202221.4 pts
Q3 202221.4 pts
Q2 202221.4 pts
Q1 202221.4 pts
Q4 202121.4 pts
Q3 202121.4 pts
Q2 202121.4 pts
Q1 202121.5 pts
Q4 202021.5 pts
Q3 202021.4 pts
Q2 202021.4 pts
Q1 202021.4 pts
Q4 201921.4 pts
Q3 201921.4 pts
Q2 201921.4 pts
Q1 201921.4 pts
Q4 201821.4 pts
Q3 201821.4 pts
Q2 201821.4 pts

Source

Data: public market data feeds.

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